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Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science Andrew Sabot
Minimizing Data Movement and Parameter Count Across the Machine Learning Stack: Everything is a Matrix - Synthesis Lectures on Computer Science
Andrew Sabot
This book provides a focused, research-forward guide to making large AI models efficient in practice and also presents an array of novel techniques to reduce memory footprint, accelerate computation, and improve overall hardware utilization.
| Media | Boeken Hardcover Book (Boek met harde rug en kaft) |
| Vrijgegeven | 16 juni 2026 |
| ISBN13 | 9783032230997 |
| Uitgevers | Springer Nature Switzerland AG |
| Pagina's | 110 |
| Afmetingen | 150 × 220 × 20 mm · 256 g (Gewicht (geschat)) |
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